Summary of Results. This study of low-income patients receiving outpatient care at Xxxxx Hospital Primary Care Unit noted high overall prevalence of food insecurity (54.5%) and diabetes (50.3%) when measured as the combination of prediabetes (14.9%) and type 2 diabetes (36.8). Of concern is that those with prediabetes or type 2 diabetes had significantly higher prevalence of food insecurity (64%). Odds of diabetes was significantly higher among respondents screening positive for food insecurity [2.6 (95%CI 1.7-4.1)], even following adjustment for potential covariates; though, in stratified analyses the effect appeared much stronger in men [5.1 (95%CI 2.5-9.8)] compared to women [1.5 95%CI 0.8-2.8)]. Food Insecurity The prevalence of food insecurity overall (54.5%) was consistent with, though higher, than the prevalence found in other studies with low-income Americans. For example, in a study using the National Survey of America’s Families (NSAF), Xxxxxx et al noted a prevalence of 42.7% using the full 18-item tool (Kushel, Gupta, Gee, & Xxxx, 2006). Similarly, analyses of NHANES data noted a 10.2% of food insecurity among clinically documented type two diabetics (Xxxxxxxx et al., 2010). The higher prevalence of food insecurity compared to these other studies also reflects the general trends when comparing the national prevalence of food insecurity in the general population with prevalence of food insecurity in DeKalb and Xxxxxx counties. In 2014, the national prevalence using the full USDA tool was 12.7% (ERS, 2015) and 20% in both DeKalb and Xxxxxx Counties (GDPH, 2016). If DeKalb and Xxxxxx County prevalences of food insecurity are 20%, and Grady serves many low-income residents of both counties, it is not surprising that the data from Xxxxx’x Primary Care Center are higher than other studies focusing on national samples of low-income populations. The higher prevalence may also be due to the tool used in this study. Previous studies in low income populations have used the 2-item tool (Xxxxxxxx et al., 2012) while the surveys used to estimate national and county level prevalence utilize the full USDA tool (Xxxxxxx X. Xxxxxx et al.). Additionally, those classified as food insecure are likely only those who meet criteria for moderate or severe food insecurity as marginal food security is traditionally classified as food secure in USDA reporting schemes (USDA, 2014). Food Insecurity and Diabetes More alarming than the prevalence of food insecurity is the high prevalence of food...
Summary of Results. Collaborator will receive a summary of results of the study to the extent agreed upon in the SOW. Such summary shall be considered VA Confidential Information. Summary content, including any Individually Identifiable Information, is limited to what is permitted by the signed informed consent and HIPAA authorization document(s) of subjects, this CRADA, and by applicable confidentiality statutes and regulations.
Summary of Results. The operations of the Company have changed dramatically over the past year and therefore the results presented herein in this management’s discussion and analysis are not directly comparable. For the three and six months ended March 31, 2019, our results are only for Stem Holdings, Inc. and they comprise only real estate rental and general and administrative operations. At this time, the results of operations and financial position for the variable interest entities and affiliates we consolidated at our 2019 fiscal year end and ongoing into the 2nd quarter of fiscal 2020, were immaterial and therefore not included in the three and six months ended March 31, 2019. In the three and six months ended March 31, 2020, none of our results encompass real estate rental operations. The entirety of our operations now results directly from our cultivation, production and sale operations for cannabis and related products. In addition, we have in this period expanded beyond the state of Oregon, and in the three and six months ended March 31, 2020, our results include operations in the state of Oregon, California, and Nevada. For the Three Months Ended March 31, Change ($ in thousands) 2020 2019 $ % Revenue $ 2,298 $ 354 $ 1,944 549% Net (loss) (4,775) (2,793 ) $ (1,982) 71% Basic and diliuted earnings (loss) per share (0.08) (0.18 ) Comparison of the results of operations for the three months ended March 31, 2020 compared to the three months ended March 31, 2019 The Company had revenues during the three months ended March 31, 2020 of $2,298 compared with $354 for the comparable period of 2019, the increase is primarily due to the acquisitions of both Yerba Buena and Seven Leaf and the consolidation of four related entities. Cost of goods for the three months ended March 31, 2020 amounted to approximately $1,573 compared to $0 in the comparable period of the prior year. These costs include both the cost of finished product purchased for retail and the cost of cultivation and processing for the grow facilities and sold at the wholesale level. In the three months ended March 31, 2020, we incurred consulting costs of $1,398 compared to $1,137 in the comparable period of the prior year. We expended those fees as we have yet to build up a significant employee base and currently outsource certain tasks to consultants. We expect in the upcoming year to increase our consulting fees as we continue to grow, even though we do expect to increase staffing, as we do not expect that gr...
Summary of Results. In this review, we investigated initiation, exclusivity, and duration of breastfeeding in women who have conceived with the help of ART. Currently it is still uncertain if mothers who conceive through ART will have different breastfeeding outcomes compared to those who conceive spontaneously. We identified 10 studies that discuss fertility treatment and breastfeeding practices. The limited evidence about the potential impact of an ART treatment history on breastfeeding capacity is inconclusive and contradictory, mainly because of significant methodological limitations in the studies to date, including recruitment strategies, inadequate sample sizes, lack of appropriate comparison groups, and failure to control for known risk factors for lactation difficulties (Cromi et al., 2015). Limited inference can be made as to why differences exist between mode of conception and breastfeeding outcomes, owing to small sample sizes, incomplete control for confounding by socioeconomic factors, and inappropriate adjustment for potential causal intermediates such as low birth rate and preterm birth. Exclusive breastfeeding has many health benefits, both in the short term and the longer term, to infants and their mothers. Breastfeeding also promises cost savings compared to formula feeding. However, lower breastfeeding rates still exist in high-income countries, where women can afford ART treatments. Despite high breastfeeding initiation rates and continued improvement in breastfeeding duration, most states are not yet meeting HP2020 breastfeeding duration and exclusivity targets in the United States, where some of the lowest breastfeeding rates lie. With the growing number of infants born through ART, there is a need for future research to better understand breastfeeding implications. This systematic review aimed to provide awareness of the currently known factors that contribute to lack of initiation or short duration of breastfeeding among women who give birth after ART to better promote assistance with breastfeeding practice. A wide range of socioeconomic, cultural, and individual factors affect breastfeeding rates. Factors such as age, level of education, occupation, family and community, pregnancy psychological functioning and mode of delivery were all discussed as determinants of breastfeeding for both mothers who conceived spontaneously and with the use of fertility treatments. Women who conceive with ART are more likely to be first-time mothers; they are, on avera...
Summary of Results. The motivation for this study was that there is very little research published about moral distress in RTs, bedside caregivers whose daily work places them in critical care settings and in end of life care situations frequently. Before conducting such research, a determination of the optimal evaluation tools for measurement of moral distress in RTs was the first step. Researchers from nursing, where most of the moral distress research has been conducted, developed survey instruments with the intention of facilitating comparison across health care disciplines, but have also acknowledged a need for discipline-specific moral distress evaluation tools. (Hamric, Borchers, & Xxxxxxx, 2012; XxXxxxxx & Xxxxx, 2008; Pauly, Varcoe, & Xxxxxx, 2012) Five RT-specific moral distress survey items were developed and studied in this project to assess their reliability, validity, and significance as an augmentation to the MDS-R, an existing moral distress survey. The results of that study answered research questions 1 and 2 affirmatively and answered question #3 in part: the RT-specific items are reliable based upon Cronbach’s alpha, and 2 of the 5 appear to demonstrate construct validity.
Summary of Results. Table of Goals & Outcomes Sediment Reduction Goals: • Treat at least 17.1 miles of road • Control 15,880 cubic yards of sediment • Annual sediment load reduction of1,339 tons/year • Four landowners involved with implementation of road storm-proofing treatments Sediment Reduction Outcomes: • Treated 18.6 miles of road • Controlled 16,675 cubic yards of sediment • Annual sediment load reduction of 1,374 tons/year • Four landowners involved with implementation of road storm-proofing treatments Sediment TMDL Goals: • Implement a Technical Advisory Committee • Increase miles of roads with comprehensive sediment source assessments Sediment TMDL Outcomes: • TAC and MCRCD identified 30 miles of prioritized road segments for inventory • Thirty (30) miles of roads were assessed for road related sediment sources • Eleven (11) landowners or associations were cooperated with to produce road related sediment source assessments
Summary of Results. The following summarizes how the provisions of paragraph T.N.4.4. are to be correctly applied to the results shown in Table 1:
Summary of Results. Due to the small sample size, it is not possible to generalize the results, meaning the experiences of the four elderly in this study do not necessarily reflect all the experiences of elderly in Tilburg. If referred to the elderly or elderly in general, we are referring to participants in this study. The same goes for lower-income participants. Within this limitation, the results provide rich qualitative data expressing how elderly, women with lower income and wheelchair users experience their transport journeys.
Summary of Results. Due to the small sample size, it is not possible to generalize the results, meaning the experiences of the seven elderly in this study do not necessarily reflect all the experiences of elderly in Flanders. If referred to the elderly or elderly in general, we are referring to participants in this study. Within this limitation, the results provide rich qualitative data expressing how elderly experience their transport journey with the dial-a-bus.
Summary of Results. Due to the small sample size, it is not possible to generalize the results, meaning the experiences of the low-income women in this study do not necessarily reflect all low- income women in Barcelona. If referred to the low-income women in general, we are referring to participants in this study. Within this limitation, the results provide rich qualitative data expressing how low-income women experience their transport journeys.
